keras implement of transformers for humans

MTEB: Massive Text Embedding Benchmark

Google AI 2018 BERT pytorch implementation

Code examples and jupyter notebooks for the Cohere Platform

该仓库尝试整理推荐系统领域的一些经典算法模型

A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

An easy-to-use LLM quantization and inference toolkit based on GPTQ algorithm (weight-only quantization).

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

QLoRA: Efficient Finetuning of Quantized LLMs

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

Evaluation Code repository for the paper "ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers". (2023 TMLR Submission)

Finetuning Large Language Models on One Consumer GPU in Under 4 Bits

BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.

inference with the structured sparsity and quantization

An easy to use PyTorch to TensorRT converter

A resource for learning about Machine learning & Deep Learning

Transformer: PyTorch Implementation of "Attention Is All You Need"

Implementation for MatMul-free LM.

This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

Training Deep Neural Networks with binary weights during propagations

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…